A novel method for optimizing epilepsy detection features through multi-domain feature fusion and se...
A novel method for optimizing epilepsy detection features through multi-domain feature fusion and selection
About this item
Full title
Author / Creator
Kong, Guanqing , Ma, Shuang , Zhao, Wei , Wang, Haifeng , Fu, Qingxi and Wang, Jiuru
Publisher
Switzerland: Frontiers Media S.A
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: Frontiers Media S.A
Subjects
More information
Scope and Contents
Contents
The methods used to detect epileptic seizures using electroencephalogram (EEG) signals suffer from poor accuracy in feature selection and high redundancy. This problem is addressed through the use of a novel multi-domain feature fusion and selection method (PMPSO).
Discrete Wavelet Transforms (DWT) and Welch are used initially to extract feature...
Alternative Titles
Full title
A novel method for optimizing epilepsy detection features through multi-domain feature fusion and selection
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_5902465eb9174b99a790918a20eb29e1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5902465eb9174b99a790918a20eb29e1
Other Identifiers
ISSN
1662-5188
E-ISSN
1662-5188
DOI
10.3389/fncom.2024.1416838
